scholarly journals Project Based Learning in Projects in the Data mining: a tutoring experience report

RENOTE ◽  
2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Soraya Roberta dos Santos Medeiros ◽  
Cibelle Amorim Martins ◽  
Humberto Rabelo

Data Mining (MD) is an area from Computer Science that has been taught as a discipline, because it allows the generation of knowledge about society. It had being offered in Information Systems Bachelor (BSI) undergraduate course at Federal University of Rio Grande do Norte (UFRN) with the execution of hypothetical projects unrelated to students' reality, so final number of enrolled students was low. This work aims to report the application of the Project Based Learning (PBL) approach in MD teaching during 2018.1 semester of BSI course at UFRN with the help of a Tutoring Project. For doing that, training actions about PBL and MD were carried out with monitors and students. As a result, the number of offerings was filled and students developed projects related to their life contexts, got articles approved at academic conferences, and produced research and outreach projects.

Examples of the value that can be created and captured through crowdsourcing go back to at least 1714, when the UK used crowdsourcing to solve the Longitude Problem, obtaining a solution that would enable the UK to become the dominant maritime force of its time. Today, Wikipedia uses crowds to provide entries for the world’s largest and free encyclopedia. Partly fueled by the value that can be created and captured through crowdsourcing, interest in researching the phenomenon has been remarkable. For example, the Best Paper Awards in 2012 for a record-setting three journals—the Academy of Management Review, Journal of Product Innovation Management, and Academy of Management Perspectives—were about crowdsourcing. In spite of the interest in crowdsourcing—or perhaps because of it—research on the phenomenon has been conducted in different research silos within the fields of management (from strategy to finance to operations to information systems), biology, communications, computer science, economics, political science, among others. In these silos, crowdsourcing takes names such as broadcast search, innovation tournaments, crowdfunding, community innovation, distributed innovation, collective intelligence, open source, crowdpower, and even open innovation. The book aims to assemble papers from as many of these silos as possible since the ultimate potential of crowdsourcing research is likely to be attained only by bridging them. The papers provide a systematic overview of the research on crowdsourcing from different fields based on a more encompassing definition of the concept, its difference for innovation, and its value for both the private and public sectors.


1997 ◽  
Vol 25 (4) ◽  
pp. 38-47 ◽  
Author(s):  
Mary J. Granger ◽  
Elizabeth S. Adams ◽  
Christina Björkman ◽  
Don Gotterbarn ◽  
Diana D. Juettner ◽  
...  

2022 ◽  
Vol 22 (2) ◽  
pp. 1-26
Author(s):  
Sadia Sharmin

Computer science is a fast-growing field in today’s digitized age, and working in this industry often requires creativity and innovative thought. An issue within computer science education, however, is that large introductory programming courses often involve little opportunity for creative thinking within coursework. The undergraduate introductory programming course (CS1) is notorious for its poor student performance and retention rates across multiple institutions. Integrating opportunities for creative thinking may help combat this issue by adding a personal touch to course content, which could allow beginner CS students to better relate to the abstract world of programming. Research on the role of creativity in computer science education (CSE) is an interesting area with a lot of room for exploration due to the complexity of the phenomenon of creativity as well as the CSE research field being fairly new compared to some other education fields where this topic has been more closely explored. To contribute to this area of research, this article provides a literature review exploring the concept of creativity as relevant to computer science education and CS1 in particular. Based on the review of the literature, we conclude creativity is an essential component to computer science, and the type of creativity that computer science requires is in fact, a teachable skill through the use of various tools and strategies. These strategies include the integration of open-ended assignments, large collaborative projects, learning by teaching, multimedia projects, small creative computational exercises, game development projects, digitally produced art, robotics, digital story-telling, music manipulation, and project-based learning. Research on each of these strategies and their effects on student experiences within CS1 is discussed in this review. Last, six main components of creativity-enhancing activities are identified based on the studies about incorporating creativity into CS1. These components are as follows: Collaboration, Relevance, Autonomy, Ownership, Hands-On Learning, and Visual Feedback. The purpose of this article is to contribute to computer science educators’ understanding of how creativity is best understood in the context of computer science education and explore practical applications of creativity theory in CS1 classrooms. This is an important collection of information for restructuring aspects of future introductory programming courses in creative, innovative ways that benefit student learning.


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